Data Engineer P2 Science Data and Insights
Data Engineer P2 Science Data and Insights
Posted on :
01-05-2025
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1 Vacancy
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Job Description
Amazons Pricing & Promotions Science Data and Insights organization is seeking a highly analytical Senior Business Intelligence Engineer to help develop/build data solutions generate automatic insights and leverage anomaly detection tools/technologies which will help to deliver the best prices to our customers. Data analysis is at the core of Amazons culture and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights mining data making recommendations and helping senior leaders make key business decisions.
Key job responsibilities
Architecture design and implementation of next generation data pipelines and BI solutions
Manage AWS resources including EC2 RDS Redshift Kinesis EMR Lambda etc.
Build and deliver high quality data architecture and pipelines to support business analyst data scientists and customer reporting needs.
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
About the team
The Pricing and Promotions Sciences strive to accelerate Customer Seller and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems and the facilitation of trustworthy datadriven decision making at scale. We look around corners for both longterm and shortterm flywheel causal impacts and think holistically from sourcing to CX and all customer journey touch points in between
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Bachelors Degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Architecture design and implementation of next generation data pipelines and BI solutions
Manage AWS resources including EC2 RDS Redshift Kinesis EMR Lambda etc.
Build and deliver high quality data architecture and pipelines to support business analyst data scientists and customer reporting needs.
Interface with other technology teams to extract transform and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
About the team
The Pricing and Promotions Sciences strive to accelerate Customer Seller and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems and the facilitation of trustworthy datadriven decision making at scale. We look around corners for both longterm and shortterm flywheel causal impacts and think holistically from sourcing to CX and all customer journey touch points in between
3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Bachelors Degree
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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